We are seeking a highly skilled and versatile individual who embodies both the analytical prowess of a Data Analyst and the technical expertise of a Data Scientist. This unique position will play a pivotal role in developing sophisticated dynamic pricing models, conducting extensive data analysis, and contributing to the overall strategy and success of our data-driven initiatives.
Must to have relevant experience with Data Science & Data Analytics at least 5 years
- Key Responsibilities:
- Design, develop, and maintain dynamic pricing models that incorporate a wide range of variables and data sources.
- Perform exploratory data analysis (EDA) to understand data trends, identify key insights, and recommend actionable strategies.
- Collaborate with revenue managers, product teams, and stakeholders to gather requirements and translate business needs into technical solutions.
- Engage in feature engineering to improve model performance and ensure the relevance of recommendations.
- Conduct data quality assessments, identify gaps, and implement strategies to enhance data integrity.
- Participate in the design and execution of A/B tests to validate model hypotheses and effectiveness.
- Essential Skills and Qualifications:
- Proficient in Python, with a strong preference for candidates with experience in both Python and R.
- Demonstrated experience with machine learning models, particularly ensemble models like XGBoost and Random Forest, as well as clustering and classification techniques.
- Solid understanding of AWS, particularly SageMaker, for model development and deployment
- Experience with SQL and familiarity with data warehousing solutions like Snowflake
- Desirable Skills:
- Previous experience in dynamic pricing or recommendation systems.
- Familiarity with CI/CD practices and experience in model deployment and monitoring.
- Knowledge of data visualization tools and techniques to effectively communicate insights.
- It is required to work full time on 9 am-6 pm English time